Inter-grader reliability of a supervised pterygium redness grading system

• Main Authors: Che Azemin, Mohd Zulfaezal, Mohd Tamrin, Mohd Izzuddin, Hilmi, Mohd Radzi, Mohd. Kamal, Khairidzan
• Format: Article
• Language: English; English
• Published: American Scientific Publishers 2016
• Subjects: RE Ophthalmology; TA164 Bioengineering
• Online Access: http://irep.iium.edu.my/54455/1/1570242081-formatted.pdf; http://irep.iium.edu.my/54455/7/54455-Inter-grader%20reliability%20of%20a%20supervised%20pterygium%20redness%20grading%20system_SCOPUS.pdf; http://irep.iium.edu.my/54455/; http://www.ingentaconnect.com/contentone/asp/asl/2016/00000022/00000010/art00060

This research work outlines the methodology of a medical image grading system based on supervised learning algorithm. A total of 210 features were extracted in various color spaces and most relevant features were identified and fed into a regularized feedforward neural network. The inter-grader reliability of the supervised system was then assessed based on the manual delineation of region of interest by 2 human graders. Intra-class correlation analysis of the experiments shows excellent agreement of 0.869 to 0.954.